Global sensitivity analysis for investigation of bacterial physiology in complex media with FBA-PRCC

This dataset was created by the use of FBA-PRCC approach, which is based on sampling flux space and global sensitivity analysis (GSA), for analysis of the GEM FBA solution space in the nutrient-rich environment. We identify two new modes of interaction between species and metabolites: attraction and avoidance, and propose the way of their use. We have shown that sensitivity coefficients provide additional information about the behavior of the bacteria in the nutrient-rich environment in comparison to standard knockouts, FVA and CoPE-FBA analysis.